Shaymaa Al‐Shukri

Business Intelligence Analyst

University of Arkansas for Medical Sciences

staff

5 h-index 9 pubs 171 cited

Research Areas

Natural Language Processing Techniques Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Health and Medical Research Impacts COVID-19 Clinical Research Studies

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Shaymaa Al‐Shukri's research focuses on the annotation and analysis of clinical data for natural language processing applications. Her work includes developing annotated corpora for named entity recognition in clinical discharge summaries and creating taxonomies for evaluating colonoscopy evaluations. She has also investigated methods for linking diverse biomedical data sources, such as The Cancer Imaging Archive and GenBank, to large clinical cohort data.

Metrics

  • h-index: 5
  • Publications: 9
  • Citations: 171

Selected Publications

  • Linking <i>The Cancer Imaging Archive</i> and <scp>GenBank</scp> to the <scp>National Clinical Cohort Collaborative</scp> (2024) DOI
  • TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation (2022) DOI
  • DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool (2021) DOI

Collaborators

Researchers in the database who share publications

Ahmad Baghal University of Arkansas for Medical Sciences 2 shared publications Sudeepa Bhattacharyya Arkansas State University 2 shared publications Michael Rutherford University of Arkansas for Medical Sciences 1 shared publication Fred Prior University of Arkansas for Medical Sciences 1 shared publication Kevin W. Sexton University of Arkansas for Medical Sciences 1 shared publication Joseph VanScoy University of Arkansas for Medical Sciences 1 shared publication

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